Evidence map›Paper›PMID 37840598›Full record

ArticleTrends in analytical chemistry : TRAC2023

CRISPR-based Biosensors for Human Health: A Novel Strategy to Detect Emerging Infectious Diseases.

Yawen He, Qinqin Hu, Samantha San, Tom Kasputis, Maria Gabriella Duarte Splinter, Kun Yin, Juhong Chen

Abstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  12. Epitranscriptomic alterations induced by environmental toxins: implications for RNA modifications and disease.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yawen HeDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Qinqin HuSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Samantha SanDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Tom KasputisDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Maria Gabriella Duarte SplinterDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Kun YinSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Juhong ChenDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA.

Funding

Novel Approaches to detect and treat sepsisR35GM147069 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Juhong Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147069
6 · The paper itself

Abstract

Infectious diseases (such as sepsis, influenza, and malaria), caused by various pathogenic bacteria and viruses, are widespread across the world. Early and rapid detection of disease-related pathogens is necessary to reduce their spread in the world and prevent their potential global pandemics. The clustered regularly interspaced short palindromic repeats (CRISPR) technology, as the next-generation molecular diagnosis technique, holds immense promise in the detection of infectious diseases because of its remarkable advantages, including supreme flexibility, sensitivity, and specificity. While numerous CRISPR-based biosensors have been developed for application in environmental monitoring, food safety, and point-of-care diagnosis, there remains a critical need to summarize and explore their potential in human health. This review aims to address this gap by focusing on the latest advancements in CRISPR-based biosensors for infectious disease detection. We provide an overview of the current status, pre-amplification methods, the unique feature of each CRISPR system, and the design of CRISPR-based biosensing strategies to detect disease-associated nucleic acids. Last but not least, the review analyzes the current challenges and provides future perspectives, which will contribute to developing more effective CRISPR-based biosensors for human health.

Indexed as

BiosensorCas nucleaseCRISPRInfectious diseaseNucleic acids

Identifiers

PMID37840598
PMCPMC10571337

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.